Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3D-lidar data-Reference-Cited by-同舟云学术

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Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3D-lidar data

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Suger Benjamin,Steder Bastian,Burgard Wolfram

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7128761/7138973/07139749.pdf?arnumber=7139749

Cited by 69 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robot-Dependent Traversability Estimation for Outdoor Environments using Deep Multimodal Variational Autoencoders;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement;IET Intelligent Transport Systems;2024-05-07

3. Learning Self-Supervised Traversability With Navigation Experiences of Mobile Robots: A Risk-Aware Self-Training Approach;IEEE Robotics and Automation Letters;2024-05

4. Robots for Forest Maintenance;Forests;2024-02-18

5. Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots;International Journal of Control, Automation and Systems;2024-02

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